Vectra AI and Cisco Secure IPS (NGIPS) compete in cybersecurity solutions. Vectra AI holds the upper hand in threat detection accuracy and prioritization, whereas Cisco Secure IPS is distinguished by strong integration features.
Features: Vectra AI is recognized for its accuracy in threat detection across the attack lifecycle and reduces alert fatigue through aggregated risk scores, allowing effective resource prioritization. It efficiently correlates various alerts into single incidents for better prioritization. Cisco Secure IPS (NGIPS) is renowned for its seamless integration within Cisco's product suite, enhanced third-party integrations, and robust network-level threat detection capabilities.
Room for Improvement: Vectra AI requires better integration with SIEM systems and improved customization. Users also call for reduced false positives and better handling of syslogs aligning user and host data. Cisco Secure IPS (NGIPS) can improve in network performance, price competitiveness, DDoS protection support, and refinement of management consoles, with easier handling of hybrid deployments.
Ease of Deployment and Customer Service: Vectra AI deployments are mainly on-premises and hybrid cloud, noted for responsive technical support and incorporating customer feedback into updates. Cisco Secure IPS shares a similar deployment model, with established technical support, although high-volume deployment handling could be simplified.
Pricing and ROI: Vectra AI is seen as costly with complex licensing, concerns raised by smaller organizations despite security enhancement benefits. Cisco Secure IPS is similarly priced, justified by comprehensive features. Both solutions present substantial security value with inherently complex ROI measurement in cybersecurity.
Fortinet, on the other hand, offers quicker response times and same-day RMAs, which gives them an edge in customer service.
The response was fast, and they provided experts to solve our issues quickly.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
Incorporating AI capabilities would enhance its functionality.
ExtraHop's ability to decrypt encrypted data is a feature that Vectra AI lacks.
You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end.
Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources.
It's cheaper to integrate with existing IT security solutions compared to other expensive brands with subscription costs.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
Cisco Secure IPS (NGIPS) is quite powerful for threat detection and includes botnet detection.
The main feature of Vectra AI that I find valuable is its focus on the user interface and its approximately two hundred algorithms based on artificial intelligence and machine learning.
There are extensive out-of-box detection capabilities.
Cisco Secure IPS (NGIPS) is designed for intrusion prevention, firewalling, and application filtering. It's deployed on-premises to secure networks and perform real-time traffic inspection, defining security policies to prevent malicious attacks.
Organizations use Cisco Secure IPS (NGIPS) to safeguard data centers, enterprise networks, and server environments. This technology integrates with advanced threat intelligence and multiple security features to enhance cybersecurity. Users deploy it at network perimeters, for firewall replacement, and to secure critical infrastructure. The platform supports modularity, anomaly detection, scalability, and centralized management, making it a comprehensive solution for modern security needs.
What are the key features of Cisco Secure IPS (NGIPS)?This technology is widely implemented across industries such as finance, healthcare, and retail, ensuring robust security for sensitive data and critical infrastructure. Typical deployments include network perimeters and data centers, providing real-time threat detection and unified security management. The combination of integrated threat intelligence and advanced security features helps enterprises strengthen their defenses against evolving cyber threats.
Vectra AI is used for detecting network anomalies and potential malicious activities, providing visibility into network traffic and enhancing threat detection across environments.
Organizations deploy Vectra AI mainly on-premises with additional cloud components. It helps with compliance, incident response, security monitoring, detecting insider threats, and correlating network events. Vectra AI captures and enriches network metadata, provides detailed dashboards, reduces false positives, and supports cross-environment behavioral analysis to enhance threat detection and prioritization. While valued for its high accuracy and alert aggregation, it has room for improvement in UI/UX, packet management, and integration with SIEMs and other tools. It is noted for expensive pricing and limited proactive threat response features.
What are Vectra AI's most valuable features?In specific industries, Vectra AI is deployed to monitor complex networks and alleviate challenges in threat detection. It is particularly effective in sectors requiring stringent compliance and security measures, offering insights and capabilities crucial for protecting sensitive data and maintaining operational integrity.
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